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You're reading from  Python Data Science Essentials. - Third Edition

Product typeBook
Published inSep 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781789537864
Edition3rd Edition
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Alberto Boschetti
Alberto Boschetti
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Alberto Boschetti

Alberto Boschetti is a data scientist with expertise in signal processing and statistics. He holds a Ph.D. in telecommunication engineering and currently lives and works in London. In his work projects, he faces challenges ranging from natural language processing (NLP) and behavioral analysis to machine learning and distributed processing. He is very passionate about his job and always tries to stay updated about the latest developments in data science technologies, attending meet-ups, conferences, and other events.
Read more about Alberto Boschetti

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Wrapping up matplotlib's commands

As we have seen in the previous paragraph, pandas can speed up exploring data visually since it wraps up into single commands what would have required an entire code snippet using matplotlib. The idea behind this is that unless you need to tailor and configure a special visualization, using a wrapper can allow you to create standard graphics faster.

Apart from pandas, other packages assemble low-level instructions from matplotlib into more user-friendly commands for specific representations and usage:

  • Seaborn is a package that extends your visualization capabilities by providing you with a set of statistical plots useful for finding out trends and discriminating groups
  • ggplot is a port of a popular R library, ggplot2 (ggplot2.tidyverse.org), based on the visualization grammar proposed in Leland Wilkinson's book, Grammar of Graphics...
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Python Data Science Essentials. - Third Edition
Published in: Sep 2018Publisher: PacktISBN-13: 9781789537864

Author (1)

author image
Alberto Boschetti

Alberto Boschetti is a data scientist with expertise in signal processing and statistics. He holds a Ph.D. in telecommunication engineering and currently lives and works in London. In his work projects, he faces challenges ranging from natural language processing (NLP) and behavioral analysis to machine learning and distributed processing. He is very passionate about his job and always tries to stay updated about the latest developments in data science technologies, attending meet-ups, conferences, and other events.
Read more about Alberto Boschetti